Comparative Analysis of Triterpene Composition between Ganoderma lingzhi from China and G. lucidum from Slovakia under Different Growing Conditions
Bibliographic record
Abstract
The mushroom today known as Ganoderma lingzhi has been used for centuries in the countries of Eastern Asia as a very important medicinal mushroom. It prefers growing on rotten wood of broadleaf trees and is mainly distributed in the tropics and subtropics. Its relative G. lucidum occurs naturally almost all the Earth, and it colonizes mostly oak and beech trees in Central Europe. G. lingzhi and G. lucidum are similar species. To obtain the qualitative parameters of G. lingzhi and G. lucidum, several strains (five G. lingzhi strains and five G. lucidum ones) were chosen and cultivated in both Slovakia and China, using wood chip (beech and oak) substrate and liquid fermentation method, respectively. It was found that there were more low-polarity triterpenes in G. lucidum, while G. lingzhi contained more high-polarity triterpenes. Beech substrate was more suitable for the accumulation of triterpenes in solid cultivation for both strains of G. lucidum and G. lingzhi. Strain C4 of G. lingzhi and strain K2 of G. lucidum contained higher triterpenes in either mycelium or fruiting bodies. Data in this study can help to identify these two species and bring a great benefit to the production of bioactive compounds of G. lucidum from Slovakia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".